Junfeng Li, Dan Li, Wenfei Wu, K. K. Ramakrishnan, Jinkun Geng, Fei Gui, Fanzhao Wang, and Kai Zheng. Sphinx: A Transport Protocol for High-Speed and Lossy Mobile Networks. , Proceedings of the 38th IEEE International Performance Computing and Communications Conference.  


Yongheng Chen, Linhai Song, Xinyu Xing, Fengyuan Xu, and Wenfei Wu. Automated Finite State Machine Extraction. , Proceedings of the 2019 Workshop on Forming an Ecosystem Around Software Transformation, 2019.  


Jiang, Yimin; Cui, Yong; Wu, Wenfei; Xu, Zhe; Gu, Jiahan; He, Yongchao; Ramakrishnan K.K.; Qian, Xuehai. SpeedyBox: Low-Latency NFV service chains with cross-NF runtime consolidation. , Proceedings - International Conference on Distributed Computing Systems,2019.  


He, Yongchao; Wu, WenfeiHe, Yongchao; Wu, Wenfei. Fully functional rate limiter design on programmable hardware switches. , SIGCOMM 2019.  


Moon, Soo-Jin; Helt, Jeffrey; Yuan, Yifei; Bieri, Yves; Banerjee, Sujata; Sekar, Vyas; Wu, Wenfei; Yannakakis, Mihalis; Zhang, Ying. Alembic: Automated Model Inference for Stateful Network Functions. , NSDI 2019.  


Yu, Ye; Qian, Chen; Wu, Wenfei; Zhang, Ying. NetCP: Consistent, Non-Interruptive and Efficient Checkpointing and Rollback of SDN. , IWQoS 2018.  


Ren, Qingmei; Cui, Yong; Wu, Wenfei; Chen, Changfeng; Huang, Hongyi; Chen, Yuchi; Liu, Jiangchuan. Improving Quality of Experience for Mobile Broadcasters in Personalized Live Video Streaming. , IWQoS 2018.  


L. Pan, Q. Can, Z. Fang, P. Tang, and L. Huang. A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. , AAAI 2019.  


L. Huang. Learning-aided Optimal Control in Energy Harvesting Networks. , IEEE Transactions on Mobile Computing (TMC), August 20, 2019.  


Y. Yu, J. Wu and L. Huang. Double Quantization for Communication-Efficient Distributed Optimization. , NeurIPS2019.  


Fang, Zhixuan; Huang, Longbo; Wierman, Adam. Prices and subsidies in the sharing economy. , Performance Evaluation.  


Jia, Zhihao; Thomas, James; Warszawski, Todd; Gao, Mingyu; Zaharia, Matei; Aiken, Alex. Optimizing DNN Computation with Relaxed Graph Substitutions. , Conference on Systems and Machine Learning – SysML, 2019.  


Gao, Mingyu; Yang, Xuan; Pu, Jing; Horowitz, Mark; Kozyrakis, Christos. Tangram: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators. , ASPLOS 2019.  


Jiao Sun, Yin Li, Charley Chen, Jiahe Lee, Xin Liu, Zhongping Zhang, Ling Huang, Lei Shi and Wei Xu. FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation. , ACM CHI Conference on Human Factors in Computing Systems (CHI), 2020.  


Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma and Wei Xu. CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation. , ICCV 2019.  


Liyi Zeng, Wei Xu, Yang Chen, Shuo Chen, Xian Zhang, Zhongxin Guo. Fear and Solutions about the Fifty-One-Percent Cryptocurrency Attack Need Stronger Evidence Support. .  


Zhihui Li , Zhe Yang, Cancheng Liu, Shuhao Wang, Wei Xu. DeepTR: Table Recognition System Trained on the Automatically Generated Training Dataset. .